The impact of real time information on transport network routing through intelligent agent-based simulation

TIC-STH'09: 2009 IEEE Toronto International Conference - Science and Technology for Humanity

Volumn , Issue , 2009, Pages 72-77

  Buscema, Daniele ^a   Ignaccolo, Matteo ^a   Inturri, Giuseppe ^a   Pluchino, Alessandro ^a   Rapisarda, Andrea ^a   Santoro, Corrado ^a   Tudisco, Salvatore ^a  

^a UNIVERSITY OF CATANIA   (Italy)

Author keywords

Braess' paradox; Cooperative traffic management; Intelligent Transportation Systems; Multi agent system; NetLogo; Road traffic control; Route choice model

Indexed keywords

BRAESS' PARADOX; INTELLIGENT TRANSPORTATION SYSTEMS; NETLOGO; ROAD TRAFFIC CONTROL; ROUTE CHOICE MODEL; TRAFFIC MANAGEMENT;

COMPUTER SIMULATION; HIGHWAY ADMINISTRATION; HIGHWAY TRAFFIC CONTROL; INTELLIGENT SYSTEMS; INTELLIGENT VEHICLE HIGHWAY SYSTEMS; MOTOR TRANSPORTATION; MULTI AGENT SYSTEMS; NETWORK PERFORMANCE; ROADS AND STREETS; TECHNOLOGICAL FORECASTING; TEMPERATURE INDICATING CAMERAS; TRAFFIC SURVEYS; TRANSPORTATION ROUTES; VEHICLES;

TRAFFIC CONGESTION;

EID: 77952730061     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/TIC-STH.2009.5444404     Document Type: Conference Paper

References (17)

1. Sheffi, Y., Urban Transportation Networks: Equilibrium Analysis with Mathematical Programming Methods. Englewood Cliffs, New Jersey. Prentice Hall, 1985
2. Wardrop, J.G., "Some theoretical aspects of road traffic research", Proceedings of the Institute of Civil Engineers Part II, 325-378, 1952.
3. Cascetta, E., Modelli per i sistemi di trasporto. Teoria e applicazioni, Torino: UTET, 2006
4. Ort́zar, JD and Willumsen, LG , Modelling transport (3rd Edition). John Wiley & Sons, England, 2001
5. Bazzan, A. L. C., Whale, J., Klugl, F., KI-99, LNAI 1701, in W. Burgard, T. Christaller, A.B. Cremers (Eds.), Springer-Verlag, Berlin Heidelberg. pp. 303-306, 1999
6. Adler J., L., Blue, V. J., "A cooperative multi-agent transportation management and route guidance system", Transportation Research Part C, Vol. 10, pp.433-454, 2002
7. Wahle, J., Bazzan, A. L. C., Klugl, F., Schreckenberg, M., "The impact of real-time information in a two-route scenario using agentbased simulation", Transportation Research Part C, Vol. 10, pp. 399-417, 2002 (Pubitemid 35420132)
8. Bazzan, A. L. C., Klugl, F., "Case studies on the Braess' Paradox: Simulating route recommendation and learning in abstract and microscopic models" Transportation Research Part C, Vol. 13, pp.299-319, 2005 (Pubitemid 41258427)
9. Muller, J. P., Wooldridge, M. J., Jennings N. R., Intelligent agents III, Agents Theories, Architectures and languages, Springer, 1997
10. Helbing, D., Agent-Based Simulation of Traffic Jams, Crowds, and Supply Networks https://ima.umn.edu/talks/workshops/11-3-6.2003/helbing/ima.pdf; Bloy, L. A. K., An investigation into Braess' Paradox, Master of Science degree thesis, University of South Africa, 2007
11. U. Wilensky (1999) - NetLogo - http://ccl.northwestern.edu/netlogo. Center for Connected Learning and Computer-Based Modeling. Northwestern University, Evanston, IL.
12. Pigou, A. C., The Economics of Welfare, Macmillan, London, 1920.
13. Braess, D., "Uber ein Paradoxon aus der Verkehrsplanung. Unternehmensforschung", vol.12, pp.258-268, 1968
14. Braess, D., Nagurney, A. and Wakolbinger, T., "On a Paradox of Traffic Planning" Transportation Science, 39(4), pp. 446-450,2005
15. Bloy, L. A. K., An investigation into Braess' Paradox, Master of Science degree thesis, University of South Africa, 2007
16. Dia, H., "An agent-based approach to modelling driver route choice behavior under the influence of real-time information, Transportation Research Part C, Vol. 10, pp.331-349, 2009
17. Rouwendal, J., Verhoef, E.T., "Basic economic principles of road pricing. From theory to applications", Transportation Policy, Vol. 13,2 006.